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Finance does not operate in isolation. Every decision—from operations to sales to HR—carries a financial impact.
A version of these insights first appeared in ET Edge Insights.
The CFO’s role has evolved from a back-office steward to a strategic change agent, requiring finance to collaborate more closely with every department. To guide their organizations through continuous volatility, finance leaders must move beyond traditional systems and manual, retrospective reporting. This is where artificial intelligence (AI) becomes essential. By embracing AI, finance teams can optimize their existing systems, offload low-value tasks to focus on strategy, and drive deeper collaboration across the entire business.
Finance leaders are expecting more from existing systems
Most companies have already invested heavily in ERP systems, which continue to serve as a strong backbone for finance operations. These adaptable systems provide the stability organizations need while also integrating seamlessly with new technologies. By layering AI on top of this backbone, companies can extend the power of their ERP investments, enhancing speed, insight, and usability. And, instead of overhauling infrastructure, finance leaders can layer AI onto their current systems to make them more valuable.
Freeing finance from routine work
AI takes routine work off the team’s plate, especially in the office of the CFO, where a huge amount of time goes into tasks that might be necessary but not strategic. Take expense reports. Instead of finance professionals making line-by-line reviews, AI tools can automatically flag duplicate claims or policy violations. In forecasting, AI models can analyze historical data alongside market signals to produce more accurate revenue projections. Even audit prep becomes easier when AI can pre-scan thousands of records and highlight only the exceptions worth investigating. Another great example is an AI co-pilot built for a project financials team, allowing professionals to move beyond basic data retrieval and into strategic work.
By letting AI handle the routine, finance can redirect energy to higher-impact areas such as scenario planning, capital allocation, and strategic advisory work.
Better insights enable cross-departmental collaboration
Finance does not operate in isolation. Every decision—from operations to sales to HR—carries a financial impact, and those dots are connected by financial operations. With AI, finance teams can move beyond reporting numbers to orchestrating insights that make collaboration sharper and outcomes stronger. Consider a company’s demand forecasting needs. Here, AI can equip supply chain operations to work with business units on aligning projections with budgets and cash flows, ensuring production decisions are grounded in financial reality.
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